Chief Data Architect
1 week ago
Selby Jennings is partnering with a leading multi-national investment bank and financial services company to find a Head of Data Architecture to lead their Enterprise data organization.
This role will be responsible for designing and implementing the enterprise data architecture strategy, working closely with various business units to establish data standards, identify best tools and technologies, and manage a team of Data Architects.
Key Responsibilities:
- Collaborate with executives and stakeholders to define the organization's overall data architecture vision, strategy, and roadmap.
- Establish the roadmap and vision for enterprise-scale data architecture, executing on this roadmap to deliver shared frameworks for broader enterprise application development teams.
- Develop a strategy to migrate on-prem data solutions to cloud-based solutions.
- Collaborate with multiple stakeholders to understand the overall business strategy, enterprise architecture, and develop end-to-end solutions for data sourcing, processing/integration, provisioning, and delivery.
- Architect solutions that are resilient, stable, and always on, working with multiple teams to ensure mission-critical data platforms are highly available and resilient.
- Establish data standards, defining and implementing data governance policies and procedures.
- Lead a team of data architects and data engineers, providing direction, guidance, and mentoring, as well as managing their performance and professional development.
Requirements:
- Must have experience in financial services, ideally in banking or wealth management.
- 15+ years of experience.
- Minimum of a Bachelor's degree in Computer Science, MIS, or related field, and 10+ years of relevant experience, including management or leadership experience, or an equivalent combination of education, training, and experience.
- Experience working with multiple business units to understand the overall business strategy and developing an Enterprise Data strategy aligned with business goals.
- Experience with a breadth of Data Platforms, Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms, and Data Streaming technologies.
- Strong understanding of modern Data Architectures and a deep understanding of Data in an enterprise context.
- Experience developing and architecting large, mission-critical data platforms that are highly resilient, scalable, and flexible.
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